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Models of opinion dynamics and consensus
Fake news, memes, and influencers are all part of the modern Internet landscape. In this project, we will examine how models of pairwise interactions between members in a social network affect how their opinions change.
Keywords: Consensus, social networks, control theory, dynamical systems, multi-agent systems
Models of opinions propagating in social networks have been proposed by many research groups around the world, but they often lack a psychological or sociological basis. In this project, we want to design a model of opinions propagating in a social network that are representative of actual human psychology.
To do this, we will examine models and data of pairwise interactions between people in a network, and infer how their opinions change as a result of their interactions in social media.
Models of opinions propagating in social networks have been proposed by many research groups around the world, but they often lack a psychological or sociological basis. In this project, we want to design a model of opinions propagating in a social network that are representative of actual human psychology.
To do this, we will examine models and data of pairwise interactions between people in a network, and infer how their opinions change as a result of their interactions in social media.
The goal of the project is twofold. First, the student should get an understanding of the current state-of-the art opinion dynamics models (Krause-Hegselmann, bounded confidence, consensus, etc.) and the behaviour that each model is supposed to replicate. The second goal is to introduce a new type of interaction into one of these models that more accurately represents how humans change their opinions based off of new psychological models and data sets.
Students should have a solid understanding of linear systems theory, as well as some relevant background in mathematical analysis.
The goal of the project is twofold. First, the student should get an understanding of the current state-of-the art opinion dynamics models (Krause-Hegselmann, bounded confidence, consensus, etc.) and the behaviour that each model is supposed to replicate. The second goal is to introduce a new type of interaction into one of these models that more accurately represents how humans change their opinions based off of new psychological models and data sets.
Students should have a solid understanding of linear systems theory, as well as some relevant background in mathematical analysis.
Dr. Mathias Hudoba de Badyn (mbadyn@control.ee.ethz.ch)
Dr. Andrea Iannelli (iannelli@control.ee.ethz.ch)
Dr. Wenjun Mei (wmei@control.ee.ethz.ch)
Please send a cv and transcripts (both undergraduate and graduate, or a list of courses if you are in your first semester).
Dr. Mathias Hudoba de Badyn (mbadyn@control.ee.ethz.ch)
Dr. Andrea Iannelli (iannelli@control.ee.ethz.ch)
Dr. Wenjun Mei (wmei@control.ee.ethz.ch)
Please send a cv and transcripts (both undergraduate and graduate, or a list of courses if you are in your first semester).